The problem of accuracy?

[Zhangwenyao1]

Thanks for your great job! When I run this code with COOP, I find the result of trained on oxford_flowers is great, => result => result

• total: 2,463
• correct: 2,332
• accuracy: 94.7%
• error: 5.3%
• macro_f1: 94.6% Elapsed: 0:15:09 But if I run it again(as your code show, it will use the model I trained last time, which got good results), it gets a bad result as follows: => result
• total: 2,463
• correct: 24
• accuracy: 1.0%
• error: 99.0%
• macro_f1: 0.1% Elapsed: 0:00:11 I am not sure why it produces a bad result， can you give me some advice.